Showing 34 open source projects for "work time"

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  • 1
    Kapacitor

    Kapacitor

    Open source framework for processing, monitoring, and alerting

    Open source framework for processing, monitoring, and alerting on time series data. Kapacitor is a real-time data processing engine for monitoring and alerting, specifically designed to work with time-series data from InfluxDB.
    Downloads: 0 This Week
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  • 2
    StarRocks

    StarRocks

    StarRocks is a next-gen sub-second MPP database for full analytics

    ...From canceled orders to updated items, your analytics applications can easily handle them with StarRocks. From streaming data to change data capture, StarRocks meets the data ingestion demands of real-time analytics. Scale storage and computing power horizontally and support tens of thousands of concurrent users. All of your BI tools work with StarRocks through standard SQL. StarRocks provides superior performance. It is also a unified OLAP covering most data analytics scenarios.
    Downloads: 0 This Week
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  • 3
    PowerSimulations.jl

    PowerSimulations.jl

    Julia for optimization simulation and modeling of PowerSystems

    PowerSimulations.jl is a Julia package for power system modeling and simulation of Power Systems operations. Provide a flexible modeling framework that can accommodate problems of different complexity and at different time scales. Streamline the construction of large-scale optimization problems to avoid repetition of work when adding/modifying model details. Exploit Julia's capabilities to improve computational performance of large-scale power system quasi-static simulations. The flexible modeling framework is enabled through a modular set of capabilities that enable scalable power system analysis and exploration of new analysis methods. ...
    Downloads: 0 This Week
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  • 4
    Cube

    Cube

    Universal semantic layer platform for AI, BI, spreadsheets

    Cube is the semantic layer for building data applications. It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide...
    Downloads: 8 This Week
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  • 5
    LinDB

    LinDB

    LinDB is a scalable, high performance, high availability database

    ...Schema-free multi-dimensional data model with Metric, Tags, and Fields; The LinQL is flexible yet handy for real-time data analytics. Horizontal scalable is made simple by adding more new broker and storage nodes without too much thinking and manual operations. And the tags-based sharding strategy resolves the hotspot problem. LinDB is designed to work under a Multi-Active IDCs cloud architecture. The compute layer of LinDB, called brokers, supports efficient Multi-IDCs aggregation query.
    Downloads: 2 This Week
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  • 6
    Querybook

    Querybook

    Big Data Querying UI, combining collocated table metadata

    ...Querybook’s core focus is to make composing queries, creating analyses, and collaborating with others as simple as possible. Organize rich text, queries, and charts into a notebook to easily document your analyses. Work collaboratively with others in a DataDoc and get real-time updates. The Query Editor is aware of your tables and their columns, as such it provides autocompletion, syntax highlighting, and the ability to hover or click on a table to view its information. No need to leave Querybook to create charts to quickly visualize your results. ...
    Downloads: 1 This Week
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  • 7
    Jitsu

    Jitsu

    Jitsu is an open-source Segment alternative

    Jitsu is a fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days. Installing Jitsu is a matter of selecting your framework and adding few lines of code to your app. Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly.
    Downloads: 0 This Week
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  • 8
    Gaston.jl

    Gaston.jl

    A julia front-end for gnuplot

    Gaston is a Julia package for plotting. It provides an interface to gnuplot, a powerful plotting package available on all major platforms. The current stable release is v1.1.0, and it has been tested with Julia LTS (1.6) and stable (1.8), on Linux. Gaston should work on any platform that runs gnuplot.
    Downloads: 0 This Week
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  • 9
    PDFIO.jl

    PDFIO.jl

    PDF Reader Library for Native Julia.

    ...PDF files are in existence for over three decades. Implementations of the PDF writers are not always to the specification or they may even vary significantly from vendor to vendor. Every time, you get a new PDF file there is a possibility that it may not work to the best interpretation of the specification. A script-based language makes it easier for the consumers to quickly modify the code and enhance to their specific needs.
    Downloads: 0 This Week
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  • 10
    Plots

    Plots

    Powerful convenience for Julia visualizations and data analysis

    Data visualization has a complicated history. Plotting software makes trade-offs between features and simplicity, speed and beauty, and a static and dynamic interface. Some packages make a display and never change it, while others make updates in real-time. Plots is a visualization interface and toolset. It sits above other backends, like GR, PythonPlot, PGFPlotsX, or Plotly, connecting commands with implementation. If one backend does not support your desired features or make the right...
    Downloads: 0 This Week
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  • 11
    ydata-profiling

    ydata-profiling

    Create HTML profiling reports from pandas DataFrame objects

    ydata-profiling primary goal is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Like pandas df.describe() function, that is so handy, ydata-profiling delivers an extended analysis of a DataFrame while allowing the data analysis to be exported in different formats such as html and json.
    Downloads: 0 This Week
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  • 12
    Java Tablesaw

    Java Tablesaw

    Java dataframe and visualization library

    Tablesaw is a dataframe and visualization library that supports loading, cleaning, transforming, filtering, and summarizing data. If you work with data in Java, it may save you time and effort. Tablesaw also supports descriptive statistics and can be used to prepare data for working with machine learning libraries like Smile, Tribuo, H20.ai, DL4J. Import data from RDBMS, Excel, CSV, TSV, JSON, HTML, or Fixed Width text files, whether they are local or remote (http, S3, etc.) ...
    Downloads: 0 This Week
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  • 13
    brms

    brms

    brms R package for Bayesian generalized multivariate models using Stan

    brms is an R package by Paul Bürkner which provides a high-level interface for fitting Bayesian multilevel (i.e. mixed effects) models, generalized linear / non-linear / multivariate models using Stan as the backend. It allows R users to specify complex Bayesian models using formula syntax similar to lme4 but with far more flexibility (distributions, link functions, hierarchical structure, nonlinear terms, etc.). It supports model diagnostics, posterior predictive checking, model comparison,...
    Downloads: 0 This Week
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  • 14
    AvaSattva

    AvaSattva

    Search replace files or pipe

    See https://github.com/qualiu/msr/ Match/Search/Replace: msr.exe/msr-Win32.exe/msr.cygwin/msr.gcc**/msr-i386.gcc** Match/Search/Replace/Execute/* Files/Pipe Lines/Blocks. Filter/Load/Extract/Transform/Stats/* Files/Pipe Lines/Blocks. Not-IN-latter: nin.exe/nin-Win32.exe/nin.cygwin/nin.gcc**/nin-i386.gcc** Get Exclusive/Mutual Line-Set or Key-Set; Remove Line-Set or Key-Set matched in latter file/pipe; Get Unique/Mutual/Distribution/Stats/* Files/Pipe Line-Set or...
    Downloads: 1 This Week
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  • 15
    Catbird Linux

    Catbird Linux

    Linux for content creation, web scraping, coding, and data analysis.

    ...In addition to search and GPT tools, you have what you need to take notes, write reports or presentations, record and edit audio or video. Under the hood, the system is tuned to be fast and responsive on modest equipment, with a real time kernel and lightweight tiling / tabbing window manager.
    Downloads: 10 This Week
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  • 16

    GETL

    ETL engine based on Groovy

    ...The simpler the class hierarchy, the easier solution; 2. The data structures tend to change over time, or not be known in advance, working with them must be maintained; 3. All routine work ETL should be automated wherever possible; 4. Compiling the code on the fly bail speed and reserve for the optimization; 5. Sophisticated class hierarchy guarantee easy connection of other open source solutions.
    Downloads: 0 This Week
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  • 17
    Indicators.jl

    Indicators.jl

    Financial market technical analysis & indicators in Julia

    Indicators is a Julia package offering efficient implementations of many technical analysis indicators and algorithms. This work is inspired by the TTR package in R and the Python implementation of TA-Lib, and the ultimate goal is to implement all of the functionality of these offerings (and more) in Julia. This package has been written to be able to interface with both native Julia Array types, as well as the TS time series type from the Temporal package.
    Downloads: 0 This Week
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  • 18
    CliMA Land

    CliMA Land

    Everything within the Land model

    ...CliMA Land is a highly modular platform to promote research at different scales from tissue to organ, whole plant, and ecosystem. Therefore, we deliver CliMA Land via a patch of packages (also referred to as sub-modules) to reduce the time used to initialize a research project. As a result, the repository is more a collection of tutorials and examples for users, rather than a place to store the code for all sub-modules. This project is supposed to be a community effort, leveraging all the work that has been done in Land Surface Modeling from various groups around the world. ...
    Downloads: 0 This Week
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  • 19
    Twitter.jl

    Twitter.jl

    Julia package to access Twitter API

    A Julia package for interacting with the Twitter API. Twitter.jl is a Julia package to work with the Twitter API v1.1. Currently, only the REST API methods are supported; streaming API endpoints aren't implemented at this time. Once your application is approved, you can access your dashboard/portal to grab your authentication credentials from the "Details" tab of the application.
    Downloads: 0 This Week
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  • 20
    OpticSim.jl

    OpticSim.jl

    Optical Simulation software

    OpticSim.jl is a Julia package for geometric optics (ray tracing) simulation and optimization of complex optical systems developed by the Microsoft Research Interactive Media Group and the Microsoft Hardware Architecture Incubation Team (HART). It is designed to allow optical engineers to create optical systems procedurally and then to simulate and optimize them. Unlike Zemax, Code V, or other interactive optical design systems OpticSim.jl has limited support for interactivity, primarily in...
    Downloads: 0 This Week
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  • 21
    Amadeus

    Amadeus

    Harmonious distributed data analysis in Rust

    Amadeus is a high-performance, distributed data processing framework written in Rust, designed to offer an ergonomic and safe alternative to tools like Apache Spark. It provides both streaming and batch capabilities, allowing users to work with real-time and historical data at scale. Thanks to Rust’s memory safety and zero-cost abstractions, Amadeus delivers performance gains while reducing the complexity and bugs common in large-scale data pipelines. It emphasizes developer productivity through a fluent, expressive API and makes it easier to build composable and reliable data transformation pipelines without sacrificing speed or safety.
    Downloads: 3 This Week
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  • 22
    LIFETIMES

    LIFETIMES

    Lifetime value in Python

    ...For current work, its ideas remain valuable, but teams may want to consider newer successor tools for ongoing production use.
    Downloads: 1 This Week
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  • 23
    OpenUnderwriter (Insurance Distribution)

    OpenUnderwriter (Insurance Distribution)

    Feature rich insurance quote & buy system for underwriters and brokers

    OpenUnderwriter is an open source software house specialising in the development of IT solutions for the insurance market. Specialists in the areas of eBusiness and component based development, the team has developed technology for a number of major insurance companies. The OpenUnderwriter platform has been collaboratively developed by some of the best technical brains in the Insurance Industry and offers a viable alternative to traditional solutions. To date, OpenUnderwriter has been...
    Downloads: 5 This Week
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  • 24
    md2googleslides

    md2googleslides

    Generate Google Slides from markdown

    ...This project was developed as an example of how to use the Slides API. While it does not yet produce stunningly beautiful decks, you are encouraged to use this tool for quickly prototyping presentations. The first time the command is run you will be prompted for authorization. OAuth token credentials are stored locally in a file named ~/.md2googleslides/credentials.json. Each time you will run the above comment, new slide deck will be generated. In order to work on exactly the same deck, just get the ID of the already generated slides. md2googleslides does not edit or control any theme-related options. ...
    Downloads: 0 This Week
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  • 25
    Seldon Server

    Seldon Server

    Machine learning platform and recommendation engine on Kubernetes

    Seldon Server is a machine learning platform and recommendation engine built on Kubernetes. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more restricted focus to solving the final step in a machine learning project which is serving models in production. ...
    Downloads: 0 This Week
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